Self-adaptive distribution robust unit combination method and system based on non-parametric statistics

• Main Authors: QI FUJUN, JI SHUAI, FENG DEPIN, WU XIAOBIN, MA JIAN, GENG JIAJIAN, MOU JUN, LU CHANGLU, XING WENTAO, ZHANG XINGTANG, WANG JUN, CHEN XIAOLU, ZHAO ZHONGHUA
• Format: Patent
• Language: Chinese; English
• Published: 08.12.2020
• Subjects: CALCULATING; CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER; COMPUTING; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRICITY; GENERATION; PHYSICS; SYSTEMS FOR STORING ELECTRIC ENERGY; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention provides an self-adaptive distribution robust unit combination method and system based on non-parametric statistics, and belongs to the technical field of wind power generation, and themethod comprises the following steps: obtaining the operation state data of a wind power generation system; constructing a fuzzy set of wind power probability distribution by adopting a non-parametricstatistical method according to the acquired data; preprocessing the fuzzy set to obtain an upper bound and a lower bound of output, determining a wind power consumption range of the system, and converting the fuzzy set into a polyhedral uncertainty set constructed from two dimensions of interval and time; and based on the constructed polyhedral uncertainty set, the obtained operation state dataand a preset unit combination model, outputting a combination scheme of a wind turbine generator. By introducing the fuzzy set to describe the uncertainty of the uncertain variables, the probability distribution of the variable